Two new approaches allow deep neural networks to solve entire families of partial differential equations, making it easier to model complicated systems and to do so orders of magnitude faster. In high ...

A traditional neural network struggles ... But finding a single formula to describe the entire picture-to-name transformation would be overly broad and result in a low-accuracy model.

“Liquid” neural nets ... several other papers on liquid networks. The model successfully kept the car on track, but it had one flaw, Lechner said: “It was really slow.” The problem stemmed from the ...